Evidence map›Paper›PMID 42235209›Full record

ArticleTranslational oncology2026

RNA-Based and DNA-Based Next-Generation Sequencing of KIT and PDGFRA Mutations in Gastrointestinal Stromal Tumors: Analytical Performance and Epidemiologic Insights.

Soumya Jaladi, Saba Alvand, Beth A Pitel, Jesse S Voss, Rohini Mopuri, Numrah Fadra, Sham Sunder, Mazen A Atiq, Jaime Davila, Sounak Gupta and 2 more

Abstract read
In one paragraph

Article in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Soumya JaladiDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Saba AlvandDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Beth A PitelDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Jesse S VossDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Rohini MopuriDepartment of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN.
Numrah FadraDepartment of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN.
Sham SunderMemorial Sloan Kettering Cancer Center, New York, NY.
Mazen A AtiqDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Jaime DavilaDepartment of Quantitative Health Sciences Research, Mayo Clinic, Rochester, MN.
Sounak GuptaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Benjamin R KippDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Kevin C HallingDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN. Electronic address: Halling.kevin@mayo.edu.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Mutations in the KIT and PDGFRA proto-oncogenes are key drivers in gastrointestinal stromal tumors (GIST) and guide targeted therapy. While DNA-based next-generation sequencing (NGS) is standard for mutation detection, RNA sequencing (RNA-Seq) may offer complementary advantages. This study evaluates RNA-Seq performance and presents molecular epidemiologic data from a large DNA-sequenced GIST cohort. RNA-Seq was performed on 24 GIST cases previously analyzed by DNA-based NGS (16 KIT mutants, 5 PDGFRA mutants, 3 wild-type) using the Agilent SureSelectXT RNA Direct Library Prep Kit and an in-house analysis pipeline. RNA-Seq was successful in 21 cases, identifying 13 of 14 KIT mutations and all PDGFRA mutations, including single nucleotide variants (SNV), insertions, and in-frame deletions (3-27 bp). One complex 45 bp deletion-insertion was not detected, though low-level evidence (<10% of reads) was present. Separately, DNA-based NGS results from 579 GIST cases were reviewed to assess mutation prevalence and clinicopathologic associations. Mutations were found in 83.2% of cases (403 KIT, 79 PDGFRA), with secondary KIT mutations in 6.0%. Mutation site correlated with tumor location and patient age; secondary mutations were more frequent in non-gastric tumors. RNA-Seq demonstrates high accuracy for detecting clinically relevant KIT and PDGFRA mutations and may complement DNA-based profiling. The DNA cohort provides broader context for mutation prevalence and patterns in clinical practice.

Indexed as

DNA NGS sequencingGastrointestinal stromal tumorsKITPDGFRARNA sequencing

Identifiers

PMID42235209
PMCPMC13255051

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.